######################
#  Replication code for 'Mediating the Electoral Connection', forthcoming in the JOP
#  John Henderson and John Brooks
#  12/7/2015    
######################    

# table3.R
#  :: runs iv analysis to produce results for table 3

# ORIGINAL RAIN ANALYSIS
# main iv analysis    

# Notes: The results that are interpreted are found in main_iv1_fe_sumcl and main_iv2_fe_sumcl; 
#   - the F-statistics are produced from table3-Fstats.do since these are not computed in R
  
rm(list=ls())
setwd('~/Dropbox/rainReplication')

# loop over data and fixed effects specifications 
for(fes.type in 2:3){ 
non.missings = 4

source('prelimMain.R') 

#detach(covs)
# ANALYSIS             
   
main_iv1_fe=ivreg(vote~as.factor(fe_id_num)+d_inc+
	dist_prev + midterm + pres_party + 
	black + construction + educ + 
	minc + farmer + forborn + gvtwkr + manuf + pop + unempld + 
	urban + retail + sos + gov + comp_cq + redistricted + 
	dose + dose_prv + vote_prv,
	~as.factor(fe_id_num)+d_inc+
	dist_prev + midterm + pres_party + 
	black + construction + educ + 
	minc + farmer + forborn + gvtwkr + manuf + pop + unempld + 
	urban + retail + sos + gov + comp_cq + redistricted + 
	dose_prv + vote_prv + rain_day+rain_day_prev,
	subset=full,data=covs) 

main_iv2_fe=ivreg(vote~as.factor(fe_id_num)+d_inc+
	dist_prev + midterm + pres_party + 
	black + construction + educ + 
	minc + farmer + forborn + gvtwkr + manuf + pop + unempld + 
	urban + retail + sos + gov + comp_cq + redistricted + 
	dose + dose_prv + vote_prv,
	~as.factor(fe_id_num)+d_inc+
	dist_prev + midterm + pres_party + 
	black + construction + educ + 
	minc + farmer + forborn + gvtwkr + manuf + pop + unempld + 
	urban + retail + sos + gov + comp_cq + redistricted + 
	dose_prv + vote_prv + rain_weekend+rain_weekend_prev,
	subset=full,data=covs) 
 
main_iv1_fe_sum=summary(main_iv1_fe)
main_iv2_fe_sum=summary(main_iv2_fe)
                                 
main_iv1_fe_sumcl=coeftest.cluster(covs[full,],main_iv1_fe,cluster1='as.factor(fe_id_num)')
main_iv2_fe_sumcl=coeftest.cluster(covs[full,],main_iv2_fe,cluster1='as.factor(fe_id_num)')

save(
main_iv1_fe,
main_iv2_fe,
main_iv1_fe_sum,
main_iv2_fe_sum,
main_iv1_fe_sumcl,
main_iv2_fe_sumcl,
file=paste('main/table3-',non.missings,'_',fes.type,'.Rdata',sep='')) 

rm(
main_iv1_fe,
main_iv2_fe,
main_iv1_fe_sum,
main_iv2_fe_sum,
main_iv1_fe_sumcl,
main_iv2_fe_sumcl
)
}    

# END      